Package: coneproj 1.23

Xiyue Liao

coneproj: Primal or Dual Cone Projections with Routines for Constrained Regression

Routines doing cone projection and quadratic programming, as well as doing estimation and inference for constrained parametric regression and shape-restricted regression problems. See Mary C. Meyer (2013)<doi:10.1080/03610918.2012.659820> for more details.

Authors:Mary C. Meyer [aut], Xiyue Liao [aut, cre]

coneproj_1.23.tar.gz
coneproj_1.23.zip(r-4.7-x86_64)coneproj_1.23.zip(r-4.7-arm64)coneproj_1.23.zip(r-4.6-x86_64)coneproj_1.23.zip(r-4.6-arm64)
coneproj_1.23.tar.gz(r-4.7-arm64)coneproj_1.23.tar.gz(r-4.7-x86_64)coneproj_1.23.tar.gz(r-4.6-arm64)coneproj_1.23.tar.gz(r-4.6-x86_64)
coneproj_1.23.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
coneproj/json (API)

# Install 'coneproj' in R:
install.packages('coneproj', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • cubic - A Data Set for the Example of the Qprog Function
  • feet - Foot Measurements for Fourth Grade Children
  • FEV - Forced Expiratory Volume
  • TwoDamat - A Two Dimensional Constraint Matrix

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

4.23 score 2 stars 19 packages 3.7k downloads 1 mentions 14 exports 2 dependencies

Last updated from:afe62bc71e. Checks:4 NOTE, 6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE92
linux-devel-x86_64NOTE114
source / vignettesOK148
linux-release-arm64OK86
linux-release-x86_64OK108
windows-devel-arm64NOTE528
windows-devel-x86_64NOTE141
windows-release-arm64OK215
windows-release-x86_64OK121
wasm-releaseOK703

Exports:check_irredconcconeAconeBconstregconvdecrdecr.concdecr.convincrincr.concincr.convqprogshapereg

Dependencies:RcppRcppArmadillo